Name: Ke Chen, Abhinav Bannerjee

UT EID: kc35827, ab45393

## Warning in library(package, lib.loc = lib.loc, character.only = TRUE,
## logical.return = TRUE, : there is no package called 'shinyapps'

General Steps

  1. Acquire data source (ours was Top 2500 Companies as ranked by Forbes)
  2. Format data using ETL techniques for upload to server
  3. Analyze data and prepare visualizations in Tableau and RStudio (using ggplot2 and other packages)
  4. Create and publish Shiny web application with interactive visualizations

RShiny App. Click Here!

## 
## > library(shiny)
## 
## > navbarPage(title = "Final Project", tabPanel(title = "Scatter Plot", 
## +     fluidRow(column(5), column(7, actionButton(inputId = "scatter", 
## +       .... [TRUNCATED]
## 
## > require("jsonlite")
## 
## > require("RCurl")
## 
## > require(ggplot2)
## 
## > require(dplyr)
## 
## > require(shiny)
## 
## > require(shinydashboard)
## 
## > require(leaflet)
## 
## > shinyServer(function(input, output) {
## +     df1 <- eventReactive(input$scatter, {
## +         data.frame(fromJSON(getURL(URLencode("skipper.cs.utexas. ..." ... [TRUNCATED]

Visualization

Barchart allows us to see which industries take up most of the ranks

Crosstab displays number of ranked companies in every continent based on industry

This is a breakdown of % total profits and % total average profits for each industry

The boxplot visualizes the highest profits based on industry in each continent

Pie Chart shows market value of industries

This chart relates industry and market value by size

This map shows a state-by-state breakdown of notable ranked companies and their respective industry

This map shows the average profits among the ranked companies worldwide

This map shows median profits (in millions USD) in each country

Histogram shows concentration of overall profits in companies

Scatterplot shows logarithmic regression of profits and overall rank for each company